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llm-tools

MetaTrader 5 in a real Windows VM (Docker + QEMU/KVM), driven over REST + MCP — programmatic trading plus server-side TA: OHLC bars enriched with RSI/MACD/Bollinger/ADX/VWAP/Ichimoku/Order Blocks/FVGs (primitives, not signals). Typed MCP tools mirror the whole surface. Multi-broker, multi-account. No Wine bullshit.

Multi-mailbox IMAP/SMTP control plane. One YAML, N accounts, one bearer-auth gate. Unified inbox across Gmail/Outlook/iCloud/mailo/inbox.lv/whatever — search, read, mark, send. Reader mode strips HTML chrome for LLMs. Streamable-HTTP MCP server + REST API on one port. Ships as a Docker image.

dragiter (Deterministic Context Iterator) is a focused command-line tool that integrates large language models into automated workflows. It treats LLM processing as a Unix-style pipeline: material is read, chunked, combined with prompt templates and optional iteration data, then sent to an OpenAI-compatible endpoint. Results are written according to explicit routing rules.

Agent-agnostic base image for putting any terminal AI coding agent (claude-code, pi, opencode...) on the network. Bolt on a 20-line adapter, get an HTTP API, OpenAI-compatible /v1/chat/completions, MCP server, Telegram bot, and cron scheduler. One container. Same surfaces. Swap the brain — you don't fork this, you FROM it.

Interactive Brokers, curl-friendly — over REST + MCP. FastAPI + ib_async over a Linux-native IB Gateway: stocks/options/futures/forex/crypto/CFD contracts, quotes, historical bars, orders, positions, executions. Typed MCP tools mirror the whole surface. The IBKR half of mt5-httpapi — same shape, no Windows VM.

Model Verification Layer is a modular system for evaluating, comparing, and validating the behavior of large language models using structured benchmarks, logic consistency checks, cross-model consensus analysis, and policy-aware constraints. It provides a transparent framework for understanding how different AI models perform under identical conditions, enabling more reliable model selection, safer deployment, and user-adaptive decision making. https://roxanneardary.com/model-verification-layer/

Structured market intelligence for Indian financial events, macro context, and sector impact.

A set of basic, universal tools for OpenCode

Guideon IA is a local control layer for AI-assisted development. It standardizes how coding agents read project context, skills, permissions, model profiles, memory settings, and workflow rules, making agent-based development more reproducible, auditable, and portable across tools.

Logical concept analysis MCP server - break through confused thinking with structured decomposition. Uses Wittgenstein's Tractatus method to show WHAT something is (not HOW to do it) by revealing hidden dependencies and multiplicative requirements that sequential thinking misses.